Stock Screening with Intraday Range, Reversal Patterns, and Prior Turnover

Summary

This screening recipe combines three main conditions: a daily high-to-low range greater than one percent, a reversal or engulfing-style price pattern, and prior-day turnover above eight percent. Its indicator examples also check that current volume exceeds the previous observation and its 30-period average, and remove a cross-period data-boundary case. A Python example uses price and turnover series and lists selected stocks.

The post characterizes the approach as high risk and potentially volatile, and recommends adding industry, cash-flow, company financial, and other technical measures. It does not provide a backtest, define the reversal pattern consistently across its code examples, or show evidence that the conditions improve returns. The implementation details also differ between the formula and Python sketches, so the exact screen may need clarification before reproduction.

Key ideas

• The screen requires a daily price range above one percent and a reversal-style pattern.
• It also requires prior-day turnover above eight percent.
• The formula example adds volume comparisons against the previous value and a 30-period average.
• The post describes the screen as high risk and recommends broader contextual filters.
• The examples differ in their pattern definitions and provide no performance evidence.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.